This scorecard evaluates six key areas for venue performance in the context of AI-driven travel. It highlights the current challenges venues face with discoverability, relying on basic listings and struggling to differentiate beyond price. It emphasises the lack of feedback mechanisms for understanding discovery patterns and the limitations in representing complex capabilities like accessibility features. The scorecard also addresses the need for better utilisation of guest preferences, currently isolated in property systems, and the limited control GMs have over commercial strategy within evolving discovery systems. Finally, it points out the lack of actionable analytics beyond basic booking data, hindering data-driven decision-making. Taash's agent-ready infrastructure offers solutions to these challenges, enabling venues to optimise their AI Profiles for improved matching with Super-Agents, leverage the Social Matching Engine for enhanced guest experiences, and gain access to valuable data insights for informed revenue management.
